
It is certainly easy, when writing code to accomplish some data science task, to start taking the data on face value. In my mind, the data can simply become what they claim to be. But it’s good to step back and remember the real world in which these data are collected, and how skeptical we need to be regarding their meaning. I thought this month might be an opportunity to show how two different FDA databases produce quite different results when they should be the same.
Continue Reading Unpacking Averages: The Difference Between Data and the Truth: Comparing FDA’s UDI Database with FDA’s 510(k) Database